As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‐scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.

Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.

Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.

Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.

Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.

Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.

Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.

Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.

Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.

Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

Expression of Interest: Machine Learning Engineer

Responsibilities

Benefits

Company

Moloco

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